Literature DB >> 21293326

Vital signs: prevalence, treatment, and control of high levels of low-density lipoprotein cholesterol--United States, 1999-2002 and 2005-200.

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Abstract

BACKGROUND: High levels of low-density lipoprotein cholesterol (LDL-C), a major risk factor for coronary heart disease (CHD), can be treated effectively.
METHODS: CDC analyzed data from 1999-2002 and 2005-2008 to examine the prevalence, treatment, and control of high LDL-C among U.S. adults aged ≥20 years. Values were determined from blood specimens obtained from persons participating in the National Health and Nutrition Examination Survey (NHANES), a nationally representative cross-sectional, stratified, multistage probability sample survey of the U.S. civilian, noninstitutionalized population. The National Cholesterol Education Program Adult Treatment Panel-III guidelines set LDL-C goal levels of <100 mg/dL, <130 mg/dL, and <160 mg/dL for persons with high, intermediate, and low risk for developing CHD during the next 10 years, respectively. A person with high LDL-C was defined as either a person whose LDL-C levels were above the LDL-C goal levels or a person who reported currently taking cholesterol-lowering medication. Control of high LDL-C was defined as having a treated LDL-C value below the goal levels.
RESULTS: Based on data from the 2005-2008 NHANES, an estimated 71 million (33.5%) U.S. adults aged ≥20 years had high LDL-C, but only 34 million (48.1%) were treated and 23 million (33.2%) had their LDL-C controlled. Among persons with uncontrolled LDL-C, 82.8% reported having some form of health insurance. The proportion of adults with high LDL-C who were treated increased from 28.4% to 48.1% between the 1999-2002 and 2005-2008 study periods. Among adults with high LDL-C, the prevalence of LDL-C control increased from 14.6% to 33.2% between the periods. The prevalence of LDL-C control was lowest among persons who reported receiving medical care less than twice in the previous year (11.7%), being uninsured (13.5%), being Mexican American (20.3%), or having income below the poverty level (21.9%).
CONCLUSIONS: The prevalence of control of high LDL-C in the United States, although improving, remains low, especially among low-income adults and those with limited access to health care. Strengthening the use of preventive services through improvement in health-care access and quality of care is expected to help achieve better control of high LDL-C in the United States. IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: To improve LDL-C control levels, a comprehensive approach that involves improved clinical care, as well as improved health-care access, sustainability, and affordability, is needed. A standardized system of patient care incorporating electronic health records, registries, and automated reminders for practitioners, focusing on achieving regular patient follow-up, has the potential to improve control of high LDL-C. Lower out-of-pocket costs and simplification of the drug regimen, as well as involvement of nurses, dietitians, health educators, pharmacists and other allied health-care professionals in direct patient care also could be used to improve patient adherence to prescribed regimens.

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Year:  2011        PMID: 21293326

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


  67 in total

1.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

2.  The Choice of Analytical Strategies in Inverse-Probability-of-Treatment-Weighted Analysis: A Simulation Study.

Authors:  Shibing Yang; Juan Lu; Charles B Eaton; Spencer Harpe; Kate L Lapane
Journal:  Am J Epidemiol       Date:  2015-08-26       Impact factor: 4.897

3.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

4.  Surveillance for Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2015.

Authors:  Cassandra M Pickens; Carol Pierannunzi; William Garvin; Machell Town
Journal:  MMWR Surveill Summ       Date:  2018-06-29

5.  Risk-adjusted comparison of blood pressure and low-density lipoprotein (LDL) noncontrol in primary care offices.

Authors:  Karl Hammermeister; Michael Bronsert; William G Henderson; Letoynia Coombs; Patrick Hosokawa; Elias Brandt; Cathy Bryan; Robert Valuck; David West; Winston Liaw; Michael Ho; Wilson Pace
Journal:  J Am Board Fam Med       Date:  2013 Nov-Dec       Impact factor: 2.657

6.  PURLs: skip this step when checking lipid levels.

Authors:  Michael Wootten; Debra B Stulberg; Shailendra Prasad; Kate Rowland
Journal:  J Fam Pract       Date:  2015-02       Impact factor: 0.493

7.  Stress and Health in Nursing Students: The Nurse Engagement and Wellness Study.

Authors:  Hector A Olvera Alvarez; Elias Provencio-Vasquez; George M Slavich; Jose Guillermo Cedeno Laurent; Mathew Browning; Gloria McKee-Lopez; Leslie Robbins; John D Spengler
Journal:  Nurs Res       Date:  2019-08-07       Impact factor: 2.381

8.  Racial and ethnic disparities among enrollees in Medicare Advantage plans.

Authors:  John Z Ayanian; Bruce E Landon; Joseph P Newhouse; Alan M Zaslavsky
Journal:  N Engl J Med       Date:  2014-12-11       Impact factor: 91.245

Review 9.  How do we improve patient compliance and adherence to long-term statin therapy?

Authors:  Patricia Maningat; Bruce R Gordon; Jan L Breslow
Journal:  Curr Atheroscler Rep       Date:  2013-01       Impact factor: 5.113

10.  Translation to practice of an intervention to promote colorectal cancer screening among African Americans.

Authors:  Selina Smith; Larry Johnson; Diane Wesley; Kim B Turner; Gail McCray; Joyce Sheats; Daniel Blumenthal
Journal:  Clin Transl Sci       Date:  2012-08-07       Impact factor: 4.689

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